In this couple of articles author is arguing that the action of RBM can be derived as an action of renormalization group. BTW, this is not a first physical analogy in neural network. Apart from RBMs which use Gibbs-like distribution, there were explanations of Hopfiled neural networks via spin glasses and derivation of update rule from mean-field theory.